_COUPLE=1;
_VITESSE=2;
data=struct();
data.col=struct();
data.col8=struct();
data.type_experience=_VITESSE;
data.file_name='test_13_02_2015_10h_05mn_10s_VitesseSinus20000mHz_3000rpmX100_4000rpmX100.m';
data.description_experience="Consigne de vitesse sinusoidale, avec asservissement";
data.values=zeros(351,38);data.t_us=zeros(351,1);% Indices des colonnes de données
data.col_deb=36;
data.col_fin=73;
data.col.PRESENT_POSITION_L=36;
data.col.GOAL_POSITION_L=30;
data.col.MOVING_SPEED_L=32;
data.col.GOAL_POSITION_L=30;
data.col.MOVING_SPEED_L=32;
data.col.TORQUE_LIMIT_L=34;
data.col.PRESENT_POSITION_L=36;
data.col.PRESENT_SPEED_L=38;
data.col.PRESENT_LOAD_L=40;
data.col8.PRESENT_VOLTAGE=42;
data.col8.PRESENT_TEMPERATURE=43;
data.col8.MOVING=46;
data.col.PUNCH_L=48;
data.col.UNKNOWN1_L=52;
data.col.UNKNOWN2_L=54;
data.col.UNKNOWN3=56;
data.col.UNKNOWN4_L=58;
data.col.UNKNOWN5_L=60;
data.col.UNKNOWN6_L=62;
data.col.CURRENT_L=68;
data.col.GOAL_TORQUE_L=71;
data.col8.GOAL_ACCELERATION=73;
i=0;
i=i+1;data.values(i,:)=[30,10,0,0,40,0,116,35,0,0,1,0,0,0,0,0,36,10,39,4,251,255,248,255,251,255,216,255,0,0,0,0,255,7,0,0,0,0];data.t_us(i)=0;
i=i+1;data.values(i,:)=[30,10,0,0,160,0,116,35,0,0,1,0,0,0,0,0,36,10,159,4,236,255,165,255,236,255,96,255,0,0,0,0,232,7,0,0,0,0];data.t_us(i)=3990;
i=i+1;data.values(i,:)=[29,10,0,0,240,0,116,35,0,0,1,0,0,0,0,0,35,10,239,4,226,255,62,255,226,255,16,255,0,0,0,0,201,7,0,0,0,0];data.t_us(i)=8985;
i=i+1;data.values(i,:)=[27,10,12,4,55,1,116,35,0,0,1,0,0,0,0,0,33,10,71,5,215,255,134,254,215,255,184,254,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=12986;
i=i+1;data.values(i,:)=[24,10,24,4,101,1,116,35,0,0,1,0,0,0,0,0,30,10,135,5,207,255,205,253,207,255,120,254,0,0,0,0,153,7,0,0,0,0];data.t_us(i)=16986;
i=i+1;data.values(i,:)=[19,10,44,4,136,1,116,35,0,0,1,0,0,0,0,0,25,10,199,5,199,255,191,252,199,255,56,254,0,0,0,0,144,7,0,0,0,0];data.t_us(i)=20986;
i=i+1;data.values(i,:)=[12,10,72,4,135,1,116,35,0,0,1,0,0,0,0,0,18,10,239,5,194,255,145,251,194,255,16,254,0,0,0,0,144,7,0,0,0,0];data.t_us(i)=24990;
i=i+1;data.values(i,:)=[6,10,96,4,124,1,116,35,0,0,1,0,0,0,0,0,12,10,15,6,190,255,77,250,200,255,240,253,0,0,0,0,149,7,0,0,0,0];data.t_us(i)=29984;
i=i+1;data.values(i,:)=[254,9,132,4,88,1,116,35,0,0,1,0,0,0,0,0,3,10,23,6,189,255,65,249,209,255,232,253,0,0,0,0,154,7,0,0,0,0];data.t_us(i)=33986;
i=i+1;data.values(i,:)=[247,9,156,4,61,1,116,35,0,0,1,0,0,0,0,0,252,9,31,6,188,255,51,248,218,255,224,253,0,0,0,0,162,7,0,0,0,0];data.t_us(i)=37988;
i=i+1;data.values(i,:)=[237,9,188,4,22,1,116,35,0,0,1,0,0,0,0,0,242,9,39,6,187,255,221,246,228,255,216,253,0,0,0,0,164,7,0,0,0,0];data.t_us(i)=41984;
i=i+1;data.values(i,:)=[228,9,212,4,235,0,116,35,0,0,1,0,0,0,0,0,233,9,31,6,188,255,204,245,237,255,224,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=45986;
i=i+1;data.values(i,:)=[219,9,232,4,206,0,116,35,0,0,1,0,0,0,0,0,224,9,31,6,188,255,184,244,243,255,224,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=49987;
i=i+1;data.values(i,:)=[209,9,248,4,206,0,116,35,0,0,1,0,0,0,0,0,214,9,55,6,185,255,89,243,247,255,200,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=53984;
i=i+1;data.values(i,:)=[203,9,252,4,209,0,116,35,0,0,1,0,0,0,0,0,208,9,63,6,184,255,129,242,248,255,192,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=57986;
i=i+1;data.values(i,:)=[198,9,4,5,205,0,116,35,0,0,1,0,0,0,0,0,203,9,71,6,183,255,239,241,248,255,184,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=59989;
i=i+1;data.values(i,:)=[192,9,8,5,215,0,116,35,0,0,1,0,0,0,0,0,197,9,87,6,181,255,16,241,248,255,168,253,0,0,0,0,158,7,0,0,0,0];data.t_us(i)=61989;
i=i+1;data.values(i,:)=[185,9,12,5,217,0,115,35,0,0,1,0,0,0,0,0,190,9,95,6,180,255,45,240,247,255,160,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=64987;
i=i+1;data.values(i,:)=[178,9,20,5,214,0,115,35,0,0,1,0,0,0,0,0,183,9,103,6,179,255,68,239,247,255,152,253,0,0,0,0,158,7,0,0,0,0];data.t_us(i)=67985;
i=i+1;data.values(i,:)=[173,9,20,5,230,0,115,35,0,0,1,0,0,0,0,0,178,9,119,6,177,255,90,238,245,255,136,253,0,0,0,0,156,7,0,0,0,0];data.t_us(i)=69988;
i=i+1;data.values(i,:)=[167,9,24,5,218,0,115,35,0,0,1,0,0,0,0,0,172,9,119,6,177,255,108,237,246,255,136,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=72985;
i=i+1;data.values(i,:)=[157,9,28,5,218,0,115,35,0,0,1,0,0,0,0,0,162,9,119,6,177,255,127,236,245,255,136,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=75989;
i=i+1;data.values(i,:)=[152,9,32,5,212,0,115,35,0,0,1,0,0,0,0,0,157,9,119,6,177,255,226,235,246,255,136,253,0,0,0,0,164,7,0,0,0,0];data.t_us(i)=77992;
i=i+1;data.values(i,:)=[147,9,32,5,204,0,115,35,0,0,1,0,0,0,0,0,152,9,111,6,178,255,248,234,247,255,144,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=79990;
i=i+1;data.values(i,:)=[139,9,44,5,171,0,115,35,0,0,1,0,0,0,0,0,144,9,95,6,179,255,18,234,249,255,152,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=82988;
i=i+1;data.values(i,:)=[130,9,48,5,165,0,115,35,0,0,1,0,0,0,0,0,135,9,95,6,180,255,45,233,253,255,160,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=85988;
i=i+1;data.values(i,:)=[126,9,48,5,157,0,115,35,0,0,1,0,0,0,0,0,130,9,87,6,181,255,151,232,254,255,168,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=87990;
i=i+1;data.values(i,:)=[119,9,48,5,149,0,115,35,0,0,1,0,0,0,0,0,123,9,79,6,182,255,183,231,0,0,176,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=90988;
i=i+1;data.values(i,:)=[109,9,52,5,127,0,115,35,0,0,1,0,0,0,0,0,113,9,63,6,184,255,148,230,4,0,192,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=93988;
i=i+1;data.values(i,:)=[104,9,56,5,121,0,115,35,0,0,1,0,0,0,0,0,108,9,63,6,184,255,3,230,6,0,192,253,0,0,0,0,188,7,0,0,0,0];data.t_us(i)=96001;
i=i+1;data.values(i,:)=[100,9,52,5,127,0,115,35,0,0,1,0,0,0,0,0,104,9,63,6,184,255,115,229,6,0,192,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=97989;
i=i+1;data.values(i,:)=[95,9,56,5,121,0,115,35,0,0,1,0,0,0,0,0,99,9,63,6,184,255,226,228,7,0,192,253,0,0,0,0,189,7,0,0,0,0];data.t_us(i)=99990;
i=i+1;data.values(i,:)=[89,9,48,5,141,0,115,35,0,0,1,0,0,0,0,0,93,9,71,6,183,255,9,228,6,0,184,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=101990;
i=i+1;data.values(i,:)=[81,9,52,5,135,0,115,35,0,0,1,0,0,0,0,0,85,9,71,6,183,255,47,227,6,0,184,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=104990;
i=i+1;data.values(i,:)=[74,9,48,5,149,0,115,35,0,0,1,0,0,0,0,0,78,9,79,6,182,255,83,226,4,0,176,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=107989;
i=i+1;data.values(i,:)=[69,9,52,5,143,0,115,35,0,0,1,0,0,0,0,0,73,9,79,6,182,255,191,225,4,0,176,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=109990;
i=i+1;data.values(i,:)=[64,9,44,5,171,0,115,35,0,0,1,0,0,0,0,0,67,9,95,6,180,255,220,224,1,0,160,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=111989;
i=i+1;data.values(i,:)=[56,9,48,5,165,0,115,35,0,0,1,0,0,0,0,0,59,9,95,6,180,255,247,223,0,0,160,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=114986;
i=i+1;data.values(i,:)=[49,9,48,5,173,0,115,35,0,0,1,0,0,0,0,0,52,9,103,6,179,255,14,223,254,255,152,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=117986;
i=i+1;data.values(i,:)=[44,9,48,5,181,0,115,35,0,0,1,0,0,0,0,0,47,9,119,6,177,255,35,222,251,255,136,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=119989;
i=i+1;data.values(i,:)=[38,9,44,5,195,0,115,35,0,0,1,0,0,0,0,0,41,9,119,6,177,255,54,221,249,255,136,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=122985;
i=i+1;data.values(i,:)=[28,9,44,5,195,0,115,35,0,0,1,0,0,0,0,0,31,9,119,6,177,255,73,220,249,255,136,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=125985;
i=i+1;data.values(i,:)=[23,9,48,5,189,0,115,35,0,0,1,0,0,0,0,0,26,9,119,6,177,255,171,219,250,255,136,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=127992;
i=i+1;data.values(i,:)=[19,9,44,5,195,0,115,35,0,0,1,0,0,0,0,0,22,9,119,6,177,255,14,219,249,255,136,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=129990;
i=i+1;data.values(i,:)=[11,9,48,5,181,0,115,35,0,0,1,0,0,0,0,0,14,9,111,6,178,255,37,218,251,255,144,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=132985;
i=i+1;data.values(i,:)=[1,9,52,5,159,0,115,35,0,0,1,0,0,0,0,0,4,9,95,6,180,255,242,216,254,255,160,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=135989;
i=i+1;data.values(i,:)=[252,8,52,5,151,0,115,35,0,0,1,0,0,0,0,0,255,8,87,6,181,255,92,216,255,255,168,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=137989;
i=i+1;data.values(i,:)=[247,8,52,5,143,0,115,35,0,0,1,0,0,0,0,0,250,8,79,6,182,255,199,215,1,0,176,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=139991;
i=i+1;data.values(i,:)=[242,8,56,5,129,0,115,35,0,0,1,0,0,0,0,0,245,8,71,6,183,255,52,215,3,0,184,253,0,0,0,0,189,7,0,0,0,0];data.t_us(i)=141991;
i=i+1;data.values(i,:)=[235,8,52,5,135,0,115,35,0,0,1,0,0,0,0,0,238,8,71,6,183,255,89,214,3,0,184,253,0,0,0,0,186,7,0,0,0,0];data.t_us(i)=143991;
i=i+1;data.values(i,:)=[228,8,52,5,127,0,115,35,0,0,1,0,0,0,0,0,231,8,63,6,184,255,128,213,5,0,192,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=146986;
i=i+1;data.values(i,:)=[221,8,56,5,121,0,115,35,0,0,1,0,0,0,0,0,224,8,63,6,184,255,167,212,7,0,192,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=149985;
i=i+1;data.values(i,:)=[215,8,48,5,141,0,115,35,0,0,1,0,0,0,0,0,218,8,71,6,183,255,206,211,6,0,184,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=151990;
i=i+1;data.values(i,:)=[208,8,48,5,149,0,115,35,0,0,1,0,0,0,0,0,211,8,79,6,182,255,242,210,5,0,176,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=154985;
i=i+1;data.values(i,:)=[200,8,48,5,149,0,115,35,0,0,1,0,0,0,0,0,203,8,79,6,182,255,21,210,4,0,176,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=157985;
i=i+1;data.values(i,:)=[196,8,48,5,157,0,115,35,0,0,1,0,0,0,0,0,199,8,87,6,181,255,128,209,3,0,168,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=159991;
i=i+1;data.values(i,:)=[192,8,48,5,165,0,115,35,0,0,1,0,0,0,0,0,194,8,103,6,179,255,155,208,0,0,152,253,0,0,0,0,164,7,0,0,0,0];data.t_us(i)=161988;
i=i+1;data.values(i,:)=[185,8,48,5,173,0,115,35,0,0,1,0,0,0,0,0,187,8,95,6,180,255,181,207,0,0,160,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=164986;
i=i+1;data.values(i,:)=[176,8,44,5,195,0,115,35,0,0,1,0,0,0,0,0,178,8,119,6,177,255,202,206,252,255,136,253,0,0,0,0,157,7,0,0,0,0];data.t_us(i)=167986;
i=i+1;data.values(i,:)=[170,8,48,5,181,0,115,35,0,0,1,0,0,0,0,0,172,8,111,6,178,255,46,206,250,255,136,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=169990;
i=i+1;data.values(i,:)=[164,8,44,5,195,0,115,35,0,0,1,0,0,0,0,0,166,8,119,6,177,255,64,205,249,255,128,253,0,0,0,0,161,7,0,0,0,0];data.t_us(i)=172985;
i=i+1;data.values(i,:)=[155,8,40,5,208,0,115,35,0,0,1,0,0,0,0,0,157,8,127,6,176,255,1,204,248,255,128,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=175985;
i=i+1;data.values(i,:)=[149,8,48,5,189,0,115,35,0,0,1,0,0,0,0,0,151,8,119,6,177,255,99,203,250,255,136,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=177989;
i=i+1;data.values(i,:)=[145,8,44,5,195,0,115,35,0,0,1,0,0,0,0,0,147,8,119,6,177,255,198,202,249,255,136,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=179989;
i=i+1;data.values(i,:)=[139,8,52,5,175,0,113,35,0,0,1,0,0,0,0,0,141,8,111,6,178,255,42,202,251,255,144,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=181990;
i=i+1;data.values(i,:)=[133,8,48,5,181,0,113,35,0,0,1,0,0,0,0,0,135,8,111,6,178,255,65,201,252,255,144,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=183992;
i=i+1;data.values(i,:)=[127,8,52,5,159,0,113,35,0,0,1,0,0,0,0,0,129,8,95,6,180,255,168,200,254,255,160,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=185989;
i=i+1;data.values(i,:)=[122,8,52,5,151,0,113,35,0,0,1,0,0,0,0,0,124,8,87,6,181,255,17,200,255,255,168,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=187992;
i=i+1;data.values(i,:)=[118,8,52,5,151,0,113,35,0,0,1,0,0,0,0,0,120,8,87,6,181,255,123,199,1,0,168,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=189991;
i=i+1;data.values(i,:)=[113,8,56,5,137,0,113,35,0,0,1,0,0,0,0,0,115,8,79,6,182,255,231,198,3,0,176,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=191991;
i=i+1;data.values(i,:)=[106,8,48,5,149,0,113,35,0,0,1,0,0,0,0,0,108,8,79,6,182,255,10,198,2,0,176,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=193990;
i=i+1;data.values(i,:)=[98,8,56,5,121,0,113,35,0,0,1,0,0,0,0,0,100,8,63,6,184,255,48,197,7,0,192,253,0,0,0,0,187,7,0,0,0,0];data.t_us(i)=196986;
i=i+1;data.values(i,:)=[91,8,56,5,121,0,113,35,0,0,1,0,0,0,0,0,93,8,63,6,184,255,86,196,7,0,192,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=199984;
i=i+1;data.values(i,:)=[85,8,52,5,135,0,113,35,0,0,1,0,0,0,0,0,88,8,71,6,183,255,126,195,7,0,184,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=201991;
i=i+1;data.values(i,:)=[78,8,52,5,143,0,113,35,0,0,1,0,0,0,0,0,82,8,79,6,182,255,162,194,6,0,176,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=204985;
i=i+1;data.values(i,:)=[71,8,44,5,163,0,113,35,0,0,1,0,0,0,0,0,73,8,87,6,181,255,196,193,3,0,168,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=207986;
i=i+1;data.values(i,:)=[66,8,48,5,157,0,113,35,0,0,1,0,0,0,0,0,68,8,87,6,181,255,46,193,3,0,168,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=209990;
i=i+1;data.values(i,:)=[62,8,44,5,179,0,113,35,0,0,1,0,0,0,0,0,64,8,103,6,179,255,72,192,0,0,152,253,0,0,0,0,163,7,0,0,0,0];data.t_us(i)=211989;
i=i+1;data.values(i,:)=[54,8,48,5,173,0,113,35,0,0,1,0,0,0,0,0,56,8,95,6,180,255,98,191,0,0,160,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=214986;
i=i+1;data.values(i,:)=[45,8,44,5,195,0,113,35,0,0,1,0,0,0,0,0,47,8,119,6,177,255,118,190,252,255,136,253,0,0,0,0,163,7,0,0,0,0];data.t_us(i)=217986;
i=i+1;data.values(i,:)=[40,8,44,5,195,0,113,35,0,0,1,0,0,0,0,0,42,8,119,6,177,255,216,189,251,255,136,253,0,0,0,0,163,7,0,0,0,0];data.t_us(i)=219989;
i=i+1;data.values(i,:)=[33,8,48,5,189,0,113,35,0,0,1,0,0,0,0,0,35,8,119,6,177,255,233,188,251,255,136,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=222986;
i=i+1;data.values(i,:)=[24,8,40,5,208,0,113,35,0,0,1,0,0,0,0,0,26,8,127,6,176,255,172,187,248,255,128,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=225986;
i=i+1;data.values(i,:)=[18,8,48,5,189,0,113,35,0,0,1,0,0,0,0,0,20,8,119,6,177,255,14,187,250,255,136,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=227991;
i=i+1;data.values(i,:)=[14,8,40,5,200,0,113,35,0,0,1,0,0,0,0,0,16,8,119,6,177,255,112,186,248,255,136,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=229990;
i=i+1;data.values(i,:)=[8,8,52,5,167,0,113,35,0,0,1,0,0,0,0,0,10,8,103,6,179,255,213,185,252,255,152,253,0,0,0,0,178,7,0,0,0,0];data.t_us(i)=231990;
i=i+1;data.values(i,:)=[1,8,52,5,167,0,113,35,0,0,1,0,0,0,0,0,3,8,103,6,179,255,237,184,253,255,152,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=233988;
i=i+1;data.values(i,:)=[250,7,52,5,159,0,113,35,0,0,1,0,0,0,0,0,252,7,95,6,180,255,8,184,255,255,160,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=236986;
i=i+1;data.values(i,:)=[243,7,52,5,151,0,113,35,0,0,1,0,0,0,0,0,245,7,87,6,181,255,39,183,1,0,168,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=239986;
i=i+1;data.values(i,:)=[237,7,60,5,123,0,113,35,0,0,1,0,0,0,0,0,239,7,71,6,183,255,148,182,4,0,184,253,0,0,0,0,190,7,0,0,0,0];data.t_us(i)=241990;
i=i+1;data.values(i,:)=[231,7,48,5,149,0,113,35,0,0,1,0,0,0,0,0,233,7,79,6,182,255,183,181,2,0,176,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=243991;
i=i+1;data.values(i,:)=[223,7,56,5,121,0,113,35,0,0,1,0,0,0,0,0,225,7,63,6,184,255,221,180,7,0,192,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=246987;
i=i+1;data.values(i,:)=[216,7,60,5,115,0,113,35,0,0,1,0,0,0,0,0,218,7,63,6,184,255,3,180,8,0,192,253,0,0,0,0,186,7,0,0,0,0];data.t_us(i)=249985;
i=i+1;data.values(i,:)=[211,7,56,5,121,0,113,35,0,0,1,0,0,0,0,0,213,7,71,6,183,255,42,179,6,0,184,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=251990;
i=i+1;data.values(i,:)=[205,7,52,5,135,0,113,35,0,0,1,0,0,0,0,0,207,7,71,6,183,255,78,178,7,0,184,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=254985;
i=i+1;data.values(i,:)=[196,7,48,5,157,0,113,35,0,0,1,0,0,0,0,0,198,7,87,6,181,255,110,177,4,0,168,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=257988;
i=i+1;data.values(i,:)=[191,7,48,5,157,0,113,35,0,0,1,0,0,0,0,0,193,7,87,6,181,255,216,176,3,0,168,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=259989;
i=i+1;data.values(i,:)=[187,7,44,5,179,0,113,35,0,0,1,0,0,0,0,0,189,7,103,6,179,255,64,176,1,0,152,253,0,0,0,0,158,7,0,0,0,0];data.t_us(i)=261993;
i=i+1;data.values(i,:)=[179,7,48,5,173,0,113,35,0,0,1,0,0,0,0,0,181,7,103,6,179,255,89,175,0,0,152,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=264986;
i=i+1;data.values(i,:)=[170,7,44,5,195,0,113,35,0,0,1,0,0,0,0,0,172,7,119,6,177,255,30,174,252,255,136,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=267986;
i=i+1;data.values(i,:)=[165,7,44,5,195,0,113,35,0,0,1,0,0,0,0,0,167,7,119,6,177,255,129,173,251,255,136,253,0,0,0,0,156,7,0,0,0,0];data.t_us(i)=269989;
i=i+1;data.values(i,:)=[161,7,40,5,208,0,113,35,0,0,1,0,0,0,0,0,163,7,127,6,176,255,225,172,249,255,128,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=271988;
i=i+1;data.values(i,:)=[156,7,44,5,203,0,113,35,0,0,1,0,0,0,0,0,158,7,127,6,176,255,66,172,250,255,128,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=273991;
i=i+1;data.values(i,:)=[149,7,40,5,208,0,113,35,0,0,1,0,0,0,0,0,151,7,127,6,176,255,82,171,248,255,128,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=275990;
i=i+1;data.values(i,:)=[141,7,44,5,195,0,113,35,0,0,1,0,0,0,0,0,143,7,119,6,177,255,100,170,249,255,136,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=278987;
i=i+1;data.values(i,:)=[134,7,48,5,189,0,113,35,0,0,1,0,0,0,0,0,136,7,119,6,177,255,119,169,250,255,136,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=281985;
i=i+1;data.values(i,:)=[127,7,44,5,187,0,113,35,0,0,1,0,0,0,0,0,129,7,111,6,178,255,141,168,251,255,144,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=283992;
i=i+1;data.values(i,:)=[119,7,52,5,159,0,113,35,0,0,1,0,0,0,0,0,121,7,95,6,180,255,167,167,255,255,160,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=286987;
i=i+1;data.values(i,:)=[112,7,48,5,157,0,113,35,0,0,1,0,0,0,0,0,114,7,87,6,181,255,197,166,0,0,168,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=289987;
i=i+1;data.values(i,:)=[107,7,56,5,137,0,113,35,0,0,1,0,0,0,0,0,109,7,79,6,182,255,49,166,3,0,176,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=291990;
i=i+1;data.values(i,:)=[103,7,52,5,143,0,113,35,0,0,1,0,0,0,0,0,105,7,79,6,182,255,83,165,4,0,176,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=293988;
i=i+1;data.values(i,:)=[93,7,52,5,135,0,113,35,0,0,1,0,0,0,0,0,97,7,71,6,183,255,119,164,6,0,184,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=296990;
i=i+1;data.values(i,:)=[86,7,56,5,129,0,116,35,0,0,1,0,0,0,0,0,88,7,71,6,183,255,154,163,7,0,184,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=299988;
i=i+1;data.values(i,:)=[80,7,56,5,121,0,116,35,0,0,1,0,0,0,0,0,82,7,63,6,182,255,191,162,6,0,176,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=301993;
i=i+1;data.values(i,:)=[74,7,56,5,137,0,116,35,0,0,1,0,0,0,0,0,76,7,79,6,183,255,226,161,7,0,184,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=304989;
i=i+1;data.values(i,:)=[65,7,48,5,157,0,116,35,0,0,1,0,0,0,0,0,67,7,87,6,181,255,3,161,4,0,168,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=307988;
i=i+1;data.values(i,:)=[59,7,48,5,157,0,116,35,0,0,1,0,0,0,0,0,62,7,87,6,181,255,108,160,3,0,168,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=309992;
i=i+1;data.values(i,:)=[55,7,44,5,179,0,116,35,0,0,1,0,0,0,0,0,58,7,103,6,179,255,211,159,1,0,152,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=311992;
i=i+1;data.values(i,:)=[48,7,44,5,187,0,116,35,0,0,1,0,0,0,0,0,51,7,111,6,178,255,235,158,255,255,144,253,0,0,0,0,159,7,0,0,0,0];data.t_us(i)=314988;
i=i+1;data.values(i,:)=[40,7,44,5,187,0,116,35,0,0,1,0,0,0,0,0,43,7,111,6,178,255,1,158,253,255,144,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=316990;
i=i+1;data.values(i,:)=[36,7,44,5,195,0,116,35,0,0,1,0,0,0,0,0,39,7,119,6,177,255,98,157,252,255,136,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=318989;
i=i+1;data.values(i,:)=[32,7,40,5,216,0,116,35,0,0,1,0,0,0,0,0,35,7,135,6,175,255,194,156,249,255,120,253,0,0,0,0,151,7,0,0,0,0];data.t_us(i)=320989;
i=i+1;data.values(i,:)=[26,7,48,5,197,0,116,35,0,0,1,0,0,0,0,0,29,7,127,6,176,255,34,156,251,255,128,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=322990;
i=i+1;data.values(i,:)=[20,7,40,5,216,0,116,35,0,0,1,0,0,0,0,0,23,7,135,6,175,255,51,155,248,255,120,253,0,0,0,0,162,7,0,0,0,0];data.t_us(i)=324988;
i=i+1;data.values(i,:)=[12,7,48,5,197,0,116,35,0,0,1,0,0,0,0,0,15,7,127,6,176,255,67,154,250,255,128,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=327987;
i=i+1;data.values(i,:)=[5,7,40,5,200,0,116,35,0,0,1,0,0,0,0,0,8,7,119,6,177,255,86,153,249,255,136,253,0,0,0,0,178,7,0,0,0,0];data.t_us(i)=330986;
i=i+1;data.values(i,:)=[255,6,52,5,175,0,116,35,0,0,1,0,0,0,0,0,2,7,111,6,178,255,185,152,252,255,144,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=332988;
i=i+1;data.values(i,:)=[248,6,48,5,173,0,116,35,0,0,1,0,0,0,0,0,251,6,103,6,179,255,209,151,253,255,152,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=334986;
i=i+1;data.values(i,:)=[240,6,56,5,145,0,116,35,0,0,1,0,0,0,0,0,243,6,87,6,181,255,237,150,1,0,168,253,0,0,0,0,187,7,0,0,0,0];data.t_us(i)=337982;
i=i+1;data.values(i,:)=[234,6,52,5,151,0,116,35,0,0,1,0,0,0,0,0,237,6,87,6,181,255,11,150,2,0,168,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=340986;
i=i+1;data.values(i,:)=[228,6,56,5,129,0,116,35,0,0,1,0,0,0,0,0,231,6,87,6,181,255,45,149,3,0,168,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=342993;
i=i+1;data.values(i,:)=[221,6,56,5,129,0,116,35,0,0,1,0,0,0,0,0,224,6,71,6,183,255,81,148,5,0,184,253,0,0,0,0,188,7,0,0,0,0];data.t_us(i)=345990;
i=i+1;data.values(i,:)=[212,6,52,5,135,0,116,35,0,0,1,0,0,0,0,0,215,6,71,6,183,255,118,147,6,0,184,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=348988;
i=i+1;data.values(i,:)=[207,6,56,5,129,0,116,35,0,0,1,0,0,0,0,0,210,6,71,6,183,255,229,146,7,0,184,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=350992;
i=i+1;data.values(i,:)=[203,6,48,5,149,0,116,35,0,0,1,0,0,0,0,0,206,6,79,6,182,255,82,146,5,0,176,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=352991;
i=i+1;data.values(i,:)=[196,6,52,5,143,0,116,35,0,0,1,0,0,0,0,0,199,6,79,6,182,255,115,145,6,0,176,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=355990;
i=i+1;data.values(i,:)=[186,6,52,5,151,0,116,35,0,0,1,0,0,0,0,0,189,6,87,6,181,255,71,144,4,0,168,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=358988;
i=i+1;data.values(i,:)=[182,6,48,5,165,0,116,35,0,0,1,0,0,0,0,0,185,6,95,6,180,255,175,143,3,0,160,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=360991;
i=i+1;data.values(i,:)=[178,6,40,5,192,0,116,35,0,0,1,0,0,0,0,0,181,6,111,6,178,255,20,143,255,255,144,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=362991;
i=i+1;data.values(i,:)=[172,6,48,5,173,0,116,35,0,0,1,0,0,0,0,0,175,6,103,6,179,255,122,142,0,0,152,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=364993;
i=i+1;data.values(i,:)=[165,6,44,5,187,0,116,35,0,0,1,0,0,0,0,0,168,6,111,6,178,255,143,141,253,255,144,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=366992;
i=i+1;data.values(i,:)=[158,6,48,5,189,0,116,35,0,0,1,0,0,0,0,0,161,6,119,6,177,255,162,140,252,255,136,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=369985;
i=i+1;data.values(i,:)=[151,6,48,5,197,0,116,35,0,0,1,0,0,0,0,0,154,6,127,6,176,255,177,139,251,255,128,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=372987;
i=i+1;data.values(i,:)=[144,6,44,5,203,0,116,35,0,0,1,0,0,0,0,0,147,6,127,6,176,255,194,138,249,255,128,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=374991;
i=i+1;data.values(i,:)=[136,6,48,5,189,0,116,35,0,0,1,0,0,0,0,0,139,6,119,6,177,255,212,137,250,255,136,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=377988;
i=i+1;data.values(i,:)=[129,6,48,5,189,0,116,35,0,0,1,0,0,0,0,0,132,6,119,6,177,255,231,136,250,255,136,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=380988;
i=i+1;data.values(i,:)=[123,6,52,5,175,0,116,35,0,0,1,0,0,0,0,0,127,6,111,6,178,255,74,136,252,255,144,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=382991;
i=i+1;data.values(i,:)=[119,6,48,5,181,0,116,35,0,0,1,0,0,0,0,0,123,6,103,6,179,255,30,136,253,255,152,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=384991;
i=i+1;data.values(i,:)=[111,6,52,5,151,0,116,35,0,0,1,0,0,0,0,0,115,6,87,6,181,255,30,136,0,0,168,253,0,0,0,0,186,7,0,0,0,0];data.t_us(i)=387993;
i=i+1;data.values(i,:)=[101,6,56,5,145,0,116,35,0,0,1,0,0,0,0,0,105,6,87,6,181,255,30,136,2,0,168,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=390988;
i=i+1;data.values(i,:)=[96,6,56,5,137,0,116,35,0,0,1,0,0,0,0,0,100,6,79,6,182,255,30,136,3,0,176,253,0,0,0,0,186,7,0,0,0,0];data.t_us(i)=392992;
i=i+1;data.values(i,:)=[89,6,56,5,129,0,116,35,0,0,1,0,0,0,0,0,93,6,71,6,183,255,30,136,6,0,192,253,0,0,0,0,191,7,0,0,0,0];data.t_us(i)=395989;
i=i+1;data.values(i,:)=[80,6,52,5,135,0,116,35,0,0,1,0,0,0,0,0,84,6,71,6,183,255,30,136,6,0,184,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=398996;
i=i+1;data.values(i,:)=[75,6,56,5,129,0,116,35,0,0,1,0,0,0,0,0,79,6,71,6,183,255,30,136,7,0,184,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=400993;
i=i+1;data.values(i,:)=[71,6,48,5,149,0,116,35,0,0,1,0,0,0,0,0,75,6,79,6,182,255,30,136,5,0,176,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=402993;
i=i+1;data.values(i,:)=[66,6,52,5,143,0,116,35,0,0,1,0,0,0,0,0,70,6,79,6,182,255,30,136,6,0,176,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=404992;
i=i+1;data.values(i,:)=[58,6,48,5,157,0,116,35,0,0,1,0,0,0,0,0,63,6,87,6,181,255,30,136,4,0,168,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=406992;
i=i+1;data.values(i,:)=[50,6,52,5,151,0,116,35,0,0,1,0,0,0,0,0,55,6,87,6,181,255,30,136,4,0,168,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=409988;
i=i+1;data.values(i,:)=[44,6,44,5,179,0,116,35,0,0,1,0,0,0,0,0,49,6,103,6,179,255,30,136,0,0,152,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=412989;
i=i+1;data.values(i,:)=[39,6,48,5,181,0,115,35,0,0,1,0,0,0,0,0,44,6,111,6,178,255,30,136,255,255,144,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=414994;
i=i+1;data.values(i,:)=[32,6,44,5,195,0,115,35,0,0,1,0,0,0,0,0,37,6,119,6,177,255,30,136,252,255,136,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=416992;
i=i+1;data.values(i,:)=[24,6,48,5,189,0,115,35,0,0,1,0,0,0,0,0,29,6,119,6,177,255,30,136,252,255,136,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=419988;
i=i+1;data.values(i,:)=[18,6,44,5,203,0,115,35,0,0,1,0,0,0,0,0,23,6,127,6,176,255,30,136,250,255,128,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=422989;
i=i+1;data.values(i,:)=[11,6,40,5,208,0,115,35,0,0,1,0,0,0,0,0,16,6,127,6,176,255,30,136,248,255,128,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=424992;
i=i+1;data.values(i,:)=[3,6,48,5,189,0,115,35,0,0,1,0,0,0,0,0,10,6,119,6,177,255,30,136,250,255,136,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=427988;
i=i+1;data.values(i,:)=[252,5,48,5,189,0,115,35,0,0,1,0,0,0,0,0,1,6,119,6,177,255,30,136,250,255,136,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=430988;
i=i+1;data.values(i,:)=[246,5,52,5,167,0,115,35,0,0,1,0,0,0,0,0,251,5,103,6,179,255,30,136,252,255,152,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=432991;
i=i+1;data.values(i,:)=[243,5,44,5,195,0,115,35,0,0,1,0,0,0,0,0,248,5,111,6,178,255,30,136,252,255,144,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=434991;
i=i+1;data.values(i,:)=[234,5,56,5,153,0,115,35,0,0,1,0,0,0,0,0,239,5,95,6,180,255,30,136,255,255,160,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=437987;
i=i+1;data.values(i,:)=[225,5,56,5,145,0,115,35,0,0,1,0,0,0,0,0,230,5,87,6,181,255,30,136,2,0,168,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=440988;
i=i+1;data.values(i,:)=[220,5,56,5,137,0,115,35,0,0,1,0,0,0,0,0,225,5,79,6,182,255,30,136,4,0,176,253,0,0,0,0,188,7,0,0,0,0];data.t_us(i)=442993;
i=i+1;data.values(i,:)=[212,5,60,5,123,0,115,35,0,0,1,0,0,0,0,0,217,5,71,6,183,255,30,136,6,0,184,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=445990;
i=i+1;data.values(i,:)=[203,5,52,5,135,0,115,35,0,0,1,0,0,0,0,0,208,5,71,6,183,255,30,136,6,0,184,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=448988;
i=i+1;data.values(i,:)=[198,5,60,5,115,0,115,35,0,0,1,0,0,0,0,0,203,5,63,6,184,255,30,136,9,0,192,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=450991;
i=i+1;data.values(i,:)=[194,5,52,5,135,0,115,35,0,0,1,0,0,0,0,0,199,5,71,6,183,255,30,136,7,0,184,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=452991;
i=i+1;data.values(i,:)=[189,5,52,5,143,0,115,35,0,0,1,0,0,0,0,0,195,5,79,6,182,255,30,136,6,0,176,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=454991;
i=i+1;data.values(i,:)=[182,5,48,5,157,0,115,35,0,0,1,0,0,0,0,0,188,5,87,6,181,255,30,136,4,0,168,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=456991;
i=i+1;data.values(i,:)=[174,5,52,5,151,0,115,35,0,0,1,0,0,0,0,0,180,5,87,6,181,255,30,136,4,0,168,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=459989;
i=i+1;data.values(i,:)=[168,5,40,5,184,0,115,35,0,0,1,0,0,0,0,0,174,5,103,6,179,255,30,136,255,255,152,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=462988;
i=i+1;data.values(i,:)=[163,5,48,5,181,0,115,35,0,0,1,0,0,0,0,0,169,5,111,6,178,255,30,136,0,0,144,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=464992;
i=i+1;data.values(i,:)=[157,5,40,5,208,0,115,35,0,0,1,0,0,0,0,0,163,5,127,6,176,255,30,136,252,255,128,253,0,0,0,0,164,7,0,0,0,0];data.t_us(i)=466990;
i=i+1;data.values(i,:)=[148,5,48,5,189,0,115,35,0,0,1,0,0,0,0,0,154,5,119,6,177,255,30,136,252,255,136,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=469988;
i=i+1;data.values(i,:)=[142,5,44,5,211,0,115,35,0,0,1,0,0,0,0,0,148,5,135,6,175,255,30,136,249,255,120,253,0,0,0,0,160,7,0,0,0,0];data.t_us(i)=472985;
i=i+1;data.values(i,:)=[137,5,40,5,208,0,115,35,0,0,1,0,0,0,0,0,143,5,135,6,175,255,30,136,248,255,120,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=474991;
i=i+1;data.values(i,:)=[129,5,48,5,189,0,115,35,0,0,1,0,0,0,0,0,135,5,127,6,176,255,30,136,249,255,128,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=477986;
i=i+1;data.values(i,:)=[120,5,44,5,195,0,115,35,0,0,1,0,0,0,0,0,126,5,119,6,177,255,30,136,250,255,136,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=480987;
i=i+1;data.values(i,:)=[112,5,52,5,175,0,115,35,0,0,1,0,0,0,0,0,118,5,111,6,178,255,30,136,252,255,136,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=483988;
i=i+1;data.values(i,:)=[105,5,52,5,167,0,115,35,0,0,1,0,0,0,0,0,111,5,103,6,179,255,30,136,254,255,152,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=486986;
i=i+1;data.values(i,:)=[96,5,48,5,165,0,115,35,0,0,1,0,0,0,0,0,102,5,95,6,180,255,30,136,0,0,160,253,0,0,0,0,186,7,0,0,0,0];data.t_us(i)=489986;
i=i+1;data.values(i,:)=[87,5,56,5,129,0,115,35,0,0,1,0,0,0,0,0,93,5,71,6,183,255,30,136,4,0,184,253,0,0,0,0,190,7,0,0,0,0];data.t_us(i)=492985;
i=i+1;data.values(i,:)=[81,5,56,5,137,0,115,35,0,0,1,0,0,0,0,0,87,5,79,6,182,255,30,136,5,0,176,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=495986;
i=i+1;data.values(i,:)=[71,5,52,5,135,0,115,35,0,0,1,0,0,0,0,0,77,5,71,6,183,255,30,136,6,0,184,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=498987;
i=i+1;data.values(i,:)=[64,5,56,5,129,0,115,35,0,0,1,0,0,0,0,0,70,5,71,6,183,255,30,136,8,0,184,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=501988;
i=i+1;data.values(i,:)=[57,5,56,5,129,0,115,35,0,0,1,0,0,0,0,0,63,5,71,6,183,255,30,136,8,0,184,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=504986;
i=i+1;data.values(i,:)=[48,5,48,5,157,0,115,35,0,0,1,0,0,0,0,0,54,5,87,6,181,255,30,136,4,0,168,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=507987;
i=i+1;data.values(i,:)=[41,5,48,5,165,0,115,35,0,0,1,0,0,0,0,0,47,5,95,6,180,255,30,136,2,0,160,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=510987;
i=i+1;data.values(i,:)=[34,5,52,5,167,0,115,35,0,0,1,0,0,0,0,0,40,5,103,6,179,255,30,136,2,0,152,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=513986;
i=i+1;data.values(i,:)=[25,5,44,5,195,0,115,35,0,0,1,0,0,0,0,0,34,5,119,6,177,255,30,136,253,255,136,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=516986;
i=i+1;data.values(i,:)=[17,5,44,5,195,0,115,35,0,0,1,0,0,0,0,0,26,5,119,6,177,255,30,136,251,255,136,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=519985;
i=i+1;data.values(i,:)=[10,5,48,5,197,0,115,35,0,0,1,0,0,0,0,0,16,5,127,6,176,255,30,136,250,255,128,253,0,0,0,0,159,7,0,0,0,0];data.t_us(i)=522984;
i=i+1;data.values(i,:)=[3,5,44,5,203,0,115,35,0,0,1,0,0,0,0,0,9,5,127,6,177,255,30,136,249,255,136,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=525988;
i=i+1;data.values(i,:)=[251,4,48,5,189,0,115,35,0,0,1,0,0,0,0,0,1,5,119,6,178,255,30,136,251,255,144,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=528987;
i=i+1;data.values(i,:)=[241,4,56,5,169,0,114,35,0,0,1,0,0,0,0,0,247,4,111,6,178,255,30,136,252,255,144,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=531987;
i=i+1;data.values(i,:)=[235,4,48,5,181,0,114,35,0,0,1,0,0,0,0,0,241,4,111,6,178,255,30,136,252,255,144,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=534985;
i=i+1;data.values(i,:)=[226,4,56,5,145,0,114,35,0,0,1,0,0,0,0,0,232,4,87,6,181,255,30,136,0,0,168,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=537986;
i=i+1;data.values(i,:)=[217,4,56,5,137,0,114,35,0,0,1,0,0,0,0,0,223,4,79,6,182,255,30,136,3,0,176,253,0,0,0,0,191,7,0,0,0,0];data.t_us(i)=540985;
i=i+1;data.values(i,:)=[210,4,56,5,137,0,114,35,0,0,1,0,0,0,0,0,216,4,79,6,182,255,30,136,4,0,176,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=543985;
i=i+1;data.values(i,:)=[202,4,60,5,115,0,114,35,0,0,1,0,0,0,0,0,208,4,63,6,184,255,30,136,7,0,192,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=546988;
i=i+1;data.values(i,:)=[194,4,52,5,135,0,114,35,0,0,1,0,0,0,0,0,200,4,71,6,183,255,30,136,6,0,184,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=549993;
i=i+1;data.values(i,:)=[186,4,48,5,141,0,114,35,0,0,1,0,0,0,0,0,193,4,71,6,183,255,30,136,6,0,184,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=552985;
i=i+1;data.values(i,:)=[178,4,52,5,135,0,114,35,0,0,1,0,0,0,0,0,185,4,71,6,183,255,30,136,6,0,184,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=555987;
i=i+1;data.values(i,:)=[169,4,52,5,151,0,114,35,0,0,1,0,0,0,0,0,176,4,87,6,181,255,30,136,4,0,168,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=558987;
i=i+1;data.values(i,:)=[163,4,44,5,179,0,114,35,0,0,1,0,0,0,0,0,170,4,103,6,179,255,30,136,1,0,152,253,0,0,0,0,157,7,0,0,0,0];data.t_us(i)=561987;
i=i+1;data.values(i,:)=[155,4,48,5,173,0,114,35,0,0,1,0,0,0,0,0,162,4,103,6,179,255,30,136,0,0,152,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=564988;
i=i+1;data.values(i,:)=[149,4,40,5,200,0,114,35,0,0,1,0,0,0,0,0,156,4,119,6,177,255,30,136,252,255,136,253,0,0,0,0,157,7,0,0,0,0];data.t_us(i)=567986;
i=i+1;data.values(i,:)=[139,4,40,5,200,0,114,35,0,0,1,0,0,0,0,0,146,4,119,6,177,255,30,136,250,255,136,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=570986;
i=i+1;data.values(i,:)=[131,4,48,5,189,0,114,35,0,0,1,0,0,0,0,0,138,4,119,6,177,255,30,136,251,255,136,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=573986;
i=i+1;data.values(i,:)=[124,4,44,5,195,0,114,35,0,0,1,0,0,0,0,0,131,4,119,6,177,255,30,136,249,255,136,253,0,0,0,0,162,7,0,0,0,0];data.t_us(i)=576987;
i=i+1;data.values(i,:)=[115,4,44,5,195,0,114,35,0,0,1,0,0,0,0,0,122,4,119,6,177,255,30,136,250,255,136,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=579985;
i=i+1;data.values(i,:)=[107,4,48,5,181,0,114,35,0,0,1,0,0,0,0,0,114,4,111,6,178,255,30,136,251,255,144,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=582986;
i=i+1;data.values(i,:)=[100,4,48,5,173,0,114,35,0,0,1,0,0,0,0,0,107,4,103,6,179,255,30,136,253,255,152,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=585986;
i=i+1;data.values(i,:)=[90,4,52,5,151,0,114,35,0,0,1,0,0,0,0,0,97,4,87,6,181,255,30,136,0,0,168,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=588986;
i=i+1;data.values(i,:)=[82,4,56,5,129,0,114,35,0,0,1,0,0,0,0,0,89,4,71,6,183,255,30,136,4,0,184,253,0,0,0,0,187,7,0,0,0,0];data.t_us(i)=591986;
i=i+1;data.values(i,:)=[76,4,52,5,143,0,114,35,0,0,1,0,0,0,0,0,83,4,79,6,182,255,30,136,4,0,176,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=594989;
i=i+1;data.values(i,:)=[67,4,48,5,149,0,114,35,0,0,1,0,0,0,0,0,74,4,79,6,182,255,30,136,4,0,176,253,0,0,0,0,178,7,0,0,0,0];data.t_us(i)=597989;
i=i+1;data.values(i,:)=[59,4,52,5,135,0,114,35,0,0,1,0,0,0,0,0,66,4,71,6,183,255,30,136,6,0,184,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=600987;
i=i+1;data.values(i,:)=[52,4,52,5,135,0,114,35,0,0,1,0,0,0,0,0,59,4,71,6,183,255,30,136,6,0,184,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=603990;
i=i+1;data.values(i,:)=[45,4,52,5,149,0,114,35,0,0,1,0,0,0,0,0,52,4,79,6,182,255,30,136,5,0,176,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=606987;
i=i+1;data.values(i,:)=[38,4,52,5,151,0,114,35,0,0,1,0,0,0,0,0,45,4,87,6,181,255,30,136,4,0,168,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=609990;
i=i+1;data.values(i,:)=[29,4,44,5,179,0,114,35,0,0,1,0,0,0,0,0,36,4,103,6,179,255,30,136,0,0,152,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=612989;
i=i+1;data.values(i,:)=[22,4,44,5,187,0,114,35,0,0,1,0,0,0,0,0,29,4,111,6,178,255,30,136,254,255,144,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=615986;
i=i+1;data.values(i,:)=[15,4,44,5,195,0,114,35,0,0,1,0,0,0,0,0,22,4,119,6,177,255,30,136,253,255,144,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=618984;
i=i+1;data.values(i,:)=[6,4,40,5,208,0,114,35,0,0,1,0,0,0,0,0,13,4,127,6,176,255,30,136,249,255,128,253,0,0,0,0,159,7,0,0,0,0];data.t_us(i)=621983;
i=i+1;data.values(i,:)=[254,3,48,5,181,0,114,35,0,0,1,0,0,0,0,0,4,4,111,6,178,255,30,136,251,255,144,253,0,0,0,0,164,7,0,0,0,0];data.t_us(i)=624987;
i=i+1;data.values(i,:)=[248,3,48,5,197,0,114,35,0,0,1,0,0,0,0,0,254,3,127,6,176,255,30,136,250,255,128,253,0,0,0,0,163,7,0,0,0,0];data.t_us(i)=627986;
i=i+1;data.values(i,:)=[237,3,48,5,173,0,114,35,0,0,1,0,0,0,0,0,243,3,103,6,179,255,30,136,251,255,152,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=630987;
i=i+1;data.values(i,:)=[230,3,52,5,167,0,114,35,0,0,1,0,0,0,0,0,236,3,103,6,179,255,30,136,252,255,152,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=633987;
i=i+1;data.values(i,:)=[223,3,52,5,159,0,114,35,0,0,1,0,0,0,0,0,229,3,95,6,180,255,30,136,254,255,160,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=636987;
i=i+1;data.values(i,:)=[213,3,52,5,143,0,114,35,0,0,1,0,0,0,0,0,219,3,79,6,182,255,30,136,1,0,176,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=639986;
i=i+1;data.values(i,:)=[205,3,56,5,121,0,114,35,0,0,1,0,0,0,0,0,211,3,63,6,184,255,30,136,4,0,192,253,0,0,0,0,191,7,0,0,0,0];data.t_us(i)=642983;
i=i+1;data.values(i,:)=[189,3,56,5,121,0,115,35,0,0,1,0,0,0,0,0,195,3,63,6,184,255,30,136,7,0,192,253,0,0,0,0,185,7,0,0,0,0];data.t_us(i)=645985;
i=i+1;data.values(i,:)=[182,3,56,5,121,0,115,35,0,0,1,0,0,0,0,0,188,3,63,6,184,255,30,136,8,0,192,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=651985;
i=i+1;data.values(i,:)=[175,3,56,5,121,0,115,35,0,0,1,0,0,0,0,0,181,3,63,6,184,255,30,136,8,0,192,253,0,0,0,0,0,0,0,0,0,0];data.t_us(i)=654984;
i=i+1;data.values(i,:)=[157,3,44,5,163,0,115,35,0,0,1,0,0,0,0,0,163,3,87,6,181,255,30,136,2,0,168,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=661151;
i=i+1;data.values(i,:)=[149,3,48,5,157,0,115,35,0,0,1,0,0,0,0,0,155,3,87,6,181,255,30,136,1,0,168,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=664986;
i=i+1;data.values(i,:)=[142,3,44,5,171,0,115,35,0,0,1,0,0,0,0,0,148,3,95,6,180,255,30,136,254,255,160,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=667987;
i=i+1;data.values(i,:)=[133,3,44,5,187,0,115,35,0,0,1,0,0,0,0,0,139,3,111,6,178,255,30,136,251,255,144,253,0,0,0,0,162,7,0,0,0,0];data.t_us(i)=670984;
i=i+1;data.values(i,:)=[125,3,48,5,173,0,115,35,0,0,1,0,0,0,0,0,131,3,103,6,179,255,30,136,252,255,152,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=673982;
i=i+1;data.values(i,:)=[119,3,44,5,187,0,115,35,0,0,1,0,0,0,0,0,125,3,111,6,178,255,30,136,250,255,144,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=676985;
i=i+1;data.values(i,:)=[109,3,44,5,179,0,115,35,0,0,1,0,0,0,0,0,115,3,103,6,179,255,30,136,250,255,152,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=679985;
i=i+1;data.values(i,:)=[101,3,52,5,159,0,115,35,0,0,1,0,0,0,0,0,107,3,95,6,180,255,30,136,253,255,160,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=682983;
i=i+1;data.values(i,:)=[95,3,44,5,171,0,115,35,0,0,1,0,0,0,0,0,101,3,95,6,180,255,30,136,252,255,160,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=685985;
i=i+1;data.values(i,:)=[85,3,48,5,149,0,115,35,0,0,1,0,0,0,0,0,91,3,79,6,182,255,30,136,0,0,176,253,0,0,0,0,178,7,0,0,0,0];data.t_us(i)=688985;
i=i+1;data.values(i,:)=[77,3,52,5,135,0,115,35,0,0,1,0,0,0,0,0,83,3,71,6,183,255,30,136,2,0,184,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=691981;
i=i+1;data.values(i,:)=[70,3,48,5,133,0,115,35,0,0,1,0,0,0,0,0,76,3,63,6,184,255,30,136,3,0,192,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=694985;
i=i+1;data.values(i,:)=[63,3,56,5,113,0,115,35,0,0,1,0,0,0,0,0,68,3,63,6,184,255,30,136,6,0,192,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=697982;
i=i+1;data.values(i,:)=[57,3,52,5,127,0,115,35,0,0,1,0,0,0,0,0,62,3,55,6,185,255,30,136,7,0,200,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=700985;
i=i+1;data.values(i,:)=[48,3,48,5,133,0,115,35,0,0,1,0,0,0,0,0,53,3,63,6,184,255,30,136,6,0,192,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=703985;
i=i+1;data.values(i,:)=[41,3,48,5,141,0,115,35,0,0,1,0,0,0,0,0,46,3,71,6,183,255,30,136,5,0,176,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=706982;
i=i+1;data.values(i,:)=[34,3,48,5,149,0,115,35,0,0,1,0,0,0,0,0,39,3,79,6,182,255,30,136,3,0,168,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=709986;
i=i+1;data.values(i,:)=[25,3,40,5,176,0,115,35,0,0,1,0,0,0,0,0,30,3,95,6,180,255,30,136,255,255,160,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=712988;
i=i+1;data.values(i,:)=[17,3,48,5,165,0,115,35,0,0,1,0,0,0,0,0,22,3,95,6,180,255,30,136,255,255,160,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=715984;
i=i+1;data.values(i,:)=[11,3,44,5,187,0,115,35,0,0,1,0,0,0,0,0,16,3,111,6,178,255,30,136,252,255,144,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=718987;
i=i+1;data.values(i,:)=[1,3,40,5,200,0,115,35,0,0,1,0,0,0,0,0,6,3,119,6,177,255,30,136,249,255,136,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=721992;
i=i+1;data.values(i,:)=[249,2,48,5,181,0,115,35,0,0,1,0,0,0,0,0,254,2,111,6,178,255,30,136,250,255,144,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=724989;
i=i+1;data.values(i,:)=[242,2,48,5,181,0,115,35,0,0,1,0,0,0,0,0,247,2,111,6,178,255,30,136,250,255,144,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=727989;
i=i+1;data.values(i,:)=[233,2,44,5,187,0,115,35,0,0,1,0,0,0,0,0,238,2,111,6,178,255,30,136,249,255,144,253,0,0,0,0,162,7,0,0,0,0];data.t_us(i)=730982;
i=i+1;data.values(i,:)=[224,2,44,5,171,0,115,35,0,0,1,0,0,0,0,0,228,2,95,6,180,255,30,136,252,255,160,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=734568;
i=i+1;data.values(i,:)=[216,2,56,5,145,0,115,35,0,0,1,0,0,0,0,0,220,2,87,6,181,255,30,136,255,255,168,253,0,0,0,0,178,7,0,0,0,0];data.t_us(i)=737988;
i=i+1;data.values(i,:)=[204,2,56,5,129,0,115,35,0,0,1,0,0,0,0,0,210,2,71,6,183,255,30,136,3,0,184,253,0,0,0,0,187,7,0,0,0,0];data.t_us(i)=740991;
i=i+1;data.values(i,:)=[197,2,52,5,127,0,115,35,0,0,1,0,0,0,0,0,201,2,63,6,184,255,30,136,4,0,192,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=744994;
i=i+1;data.values(i,:)=[190,2,60,5,107,0,115,35,0,0,1,0,0,0,0,0,193,2,63,6,184,255,30,136,6,0,192,253,0,0,0,0,178,7,0,0,0,0];data.t_us(i)=747990;
i=i+1;data.values(i,:)=[183,2,60,5,107,0,115,35,0,0,1,0,0,0,0,0,186,2,55,6,185,255,30,136,8,0,200,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=750986;
i=i+1;data.values(i,:)=[174,2,52,5,127,0,115,35,0,0,1,0,0,0,0,0,177,2,63,6,184,255,30,136,6,0,192,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=753989;
i=i+1;data.values(i,:)=[166,2,56,5,113,0,115,35,0,0,1,0,0,0,0,0,169,2,55,6,185,255,30,136,7,0,200,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=756988;
i=i+1;data.values(i,:)=[160,2,52,5,135,0,115,35,0,0,1,0,0,0,0,0,163,2,71,6,183,255,30,136,5,0,184,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=759988;
i=i+1;data.values(i,:)=[152,2,44,5,171,0,115,35,0,0,1,0,0,0,0,0,155,2,95,6,180,255,30,136,0,0,160,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=762992;
i=i+1;data.values(i,:)=[144,2,48,5,165,0,114,35,0,0,1,0,0,0,0,0,147,2,95,6,180,255,30,136,0,0,160,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=765987;
i=i+1;data.values(i,:)=[137,2,48,5,173,0,114,35,0,0,1,0,0,0,0,0,140,2,103,6,179,255,30,136,254,255,152,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=768986;
i=i+1;data.values(i,:)=[128,2,40,5,200,0,114,35,0,0,1,0,0,0,0,0,131,2,119,6,177,255,30,136,249,255,136,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=771988;
i=i+1;data.values(i,:)=[120,2,44,5,187,0,114,35,0,0,1,0,0,0,0,0,123,2,111,6,178,255,30,136,249,255,144,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=774988;
i=i+1;data.values(i,:)=[113,2,48,5,181,0,114,35,0,0,1,0,0,0,0,0,116,2,111,6,178,255,30,136,250,255,144,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=777990;
i=i+1;data.values(i,:)=[101,2,48,5,173,0,114,35,0,0,1,0,0,0,0,0,104,2,103,6,179,255,30,136,251,255,152,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=780985;
i=i+1;data.values(i,:)=[92,2,40,5,184,0,114,35,0,0,1,0,0,0,0,0,95,2,103,6,179,255,30,136,250,255,152,253,0,0,0,0,180,7,0,0,0,0];data.t_us(i)=784986;
i=i+1;data.values(i,:)=[84,2,48,5,157,0,114,35,0,0,1,0,0,0,0,0,87,2,87,6,181,255,30,136,254,255,168,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=788986;
i=i+1;data.values(i,:)=[77,2,52,5,143,0,114,35,0,0,1,0,0,0,0,0,80,2,71,6,183,255,30,136,3,0,184,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=791982;
i=i+1;data.values(i,:)=[67,2,52,5,135,0,114,35,0,0,1,0,0,0,0,0,70,2,71,6,183,255,30,136,3,0,184,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=794983;
i=i+1;data.values(i,:)=[58,2,52,5,135,0,114,35,0,0,1,0,0,0,0,0,61,2,71,6,183,255,30,136,5,0,184,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=797983;
i=i+1;data.values(i,:)=[52,2,60,5,107,0,114,35,0,0,1,0,0,0,0,0,55,2,55,6,185,255,30,136,8,0,200,253,0,0,0,0,186,7,0,0,0,0];data.t_us(i)=800988;
i=i+1;data.values(i,:)=[43,2,52,5,127,0,114,35,0,0,1,0,0,0,0,0,46,2,63,6,184,255,30,136,6,0,192,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=803988;
i=i+1;data.values(i,:)=[36,2,52,5,135,0,114,35,0,0,1,0,0,0,0,0,39,2,71,6,183,255,30,136,5,0,184,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=806983;
i=i+1;data.values(i,:)=[29,2,52,5,143,0,114,35,0,0,1,0,0,0,0,0,32,2,79,6,182,255,30,136,4,0,176,253,0,0,0,0,164,7,0,0,0,0];data.t_us(i)=809986;
i=i+1;data.values(i,:)=[20,2,48,5,165,0,114,35,0,0,1,0,0,0,0,0,23,2,95,6,180,255,30,136,1,0,160,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=812983;
i=i+1;data.values(i,:)=[12,2,48,5,165,0,114,35,0,0,1,0,0,0,0,0,15,2,95,6,180,255,30,136,255,255,160,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=815988;
i=i+1;data.values(i,:)=[6,2,48,5,181,0,114,35,0,0,1,0,0,0,0,0,9,2,111,6,178,255,30,136,253,255,144,253,0,0,0,0,163,7,0,0,0,0];data.t_us(i)=818984;
i=i+1;data.values(i,:)=[251,1,48,5,189,0,114,35,0,0,1,0,0,0,0,0,253,1,119,6,177,255,30,136,250,255,136,253,0,0,0,0,169,7,0,0,0,0];data.t_us(i)=821984;
i=i+1;data.values(i,:)=[242,1,40,5,200,0,114,35,0,0,1,0,0,0,0,0,244,1,119,6,177,255,30,136,248,255,136,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=825985;
i=i+1;data.values(i,:)=[233,1,48,5,195,0,114,35,0,0,1,0,0,0,0,0,235,1,119,6,177,255,30,136,249,255,136,253,0,0,0,0,158,7,0,0,0,0];data.t_us(i)=829985;
i=i+1;data.values(i,:)=[226,1,52,5,173,0,114,35,0,0,1,0,0,0,0,0,228,1,103,6,179,255,30,136,251,255,152,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=832986;
i=i+1;data.values(i,:)=[217,1,48,5,165,0,114,35,0,0,1,0,0,0,0,0,219,1,95,6,180,255,30,136,253,255,160,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=835987;
i=i+1;data.values(i,:)=[208,1,56,5,129,0,114,35,0,0,1,0,0,0,0,0,210,1,71,6,183,255,30,136,1,0,176,253,0,0,0,0,182,7,0,0,0,0];data.t_us(i)=838986;
i=i+1;data.values(i,:)=[201,1,60,5,123,0,114,35,0,0,1,0,0,0,0,0,203,1,71,6,183,255,30,136,2,0,176,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=841986;
i=i+1;data.values(i,:)=[193,1,48,5,141,0,114,35,0,0,1,0,0,0,0,0,195,1,71,6,183,255,30,136,3,0,184,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=844987;
i=i+1;data.values(i,:)=[186,1,56,5,121,0,114,35,0,0,1,0,0,0,0,0,187,1,63,6,184,255,30,136,6,0,192,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=847987;
i=i+1;data.values(i,:)=[180,1,52,5,135,0,114,35,0,0,1,0,0,0,0,0,181,1,71,6,183,255,30,136,6,0,184,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=850984;
i=i+1;data.values(i,:)=[171,1,44,5,155,0,114,35,0,0,1,0,0,0,0,0,172,1,79,6,182,255,30,136,4,0,176,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=853987;
i=i+1;data.values(i,:)=[162,1,56,5,121,0,114,35,0,0,1,0,0,0,0,0,163,1,63,6,184,255,30,136,7,0,192,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=856987;
i=i+1;data.values(i,:)=[156,1,52,5,143,0,114,35,0,0,1,0,0,0,0,0,157,1,79,6,182,255,30,136,5,0,176,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=859989;
i=i+1;data.values(i,:)=[145,1,48,5,173,0,114,35,0,0,1,0,0,0,0,0,146,1,103,6,179,255,30,136,0,0,152,253,0,0,0,0,162,7,0,0,0,0];data.t_us(i)=862986;
i=i+1;data.values(i,:)=[135,1,40,5,192,0,114,35,0,0,1,0,0,0,0,0,136,1,111,6,178,255,30,136,251,255,144,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=866985;
i=i+1;data.values(i,:)=[126,1,44,5,195,0,114,35,0,0,1,0,0,0,0,0,127,1,119,6,177,255,30,136,251,255,136,253,0,0,0,0,158,7,0,0,0,0];data.t_us(i)=870987;
i=i+1;data.values(i,:)=[116,1,44,5,195,0,114,35,0,0,1,0,0,0,0,0,117,1,119,6,177,255,30,136,249,255,136,253,0,0,0,0,167,7,0,0,0,0];data.t_us(i)=873985;
i=i+1;data.values(i,:)=[108,1,52,5,175,0,114,35,0,0,1,0,0,0,0,0,109,1,111,6,178,255,30,136,251,255,144,253,0,0,0,0,168,7,0,0,0,0];data.t_us(i)=877987;
i=i+1;data.values(i,:)=[102,1,44,5,195,0,115,35,0,0,1,0,0,0,0,0,103,1,103,6,179,255,30,136,251,255,152,253,0,0,0,0,174,7,0,0,0,0];data.t_us(i)=880986;
i=i+1;data.values(i,:)=[93,1,56,5,153,0,115,35,0,0,1,0,0,0,0,0,94,1,87,6,181,255,30,136,254,255,168,253,0,0,0,0,188,7,0,0,0,0];data.t_us(i)=883986;
i=i+1;data.values(i,:)=[83,1,56,5,145,0,115,35,0,0,1,0,0,0,0,0,84,1,87,6,181,255,30,136,255,255,168,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=886985;
i=i+1;data.values(i,:)=[77,1,52,5,151,0,115,35,0,0,1,0,0,0,0,0,78,1,87,6,181,255,30,136,0,0,168,253,0,0,0,0,178,7,0,0,0,0];data.t_us(i)=889987;
i=i+1;data.values(i,:)=[69,1,56,5,129,0,115,35,0,0,1,0,0,0,0,0,70,1,71,6,183,255,30,136,3,0,184,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=892986;
i=i+1;data.values(i,:)=[60,1,56,5,129,0,115,35,0,0,1,0,0,0,0,0,61,1,71,6,183,255,30,136,5,0,184,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=895989;
i=i+1;data.values(i,:)=[53,1,52,5,127,0,115,35,0,0,1,0,0,0,0,0,54,1,63,6,184,255,30,136,6,0,192,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=898983;
i=i+1;data.values(i,:)=[45,1,56,5,113,0,115,35,0,0,1,0,0,0,0,0,46,1,55,6,185,255,30,136,8,0,200,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=901985;
i=i+1;data.values(i,:)=[36,1,56,5,121,0,115,35,0,0,1,0,0,0,0,0,37,1,63,6,184,255,30,136,8,0,192,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=904992;
i=i+1;data.values(i,:)=[30,1,44,5,155,0,115,35,0,0,1,0,0,0,0,0,31,1,79,6,182,255,30,136,3,0,176,253,0,0,0,0,177,7,0,0,0,0];data.t_us(i)=907985;
i=i+1;data.values(i,:)=[20,1,48,5,157,0,115,35,0,0,1,0,0,0,0,0,21,1,87,6,181,255,30,136,2,0,168,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=910988;
i=i+1;data.values(i,:)=[8,1,44,5,179,0,115,35,0,0,1,0,0,0,0,0,9,1,103,6,179,255,30,136,254,255,152,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=915054;
i=i+1;data.values(i,:)=[1,1,48,5,181,0,115,35,0,0,1,0,0,0,0,0,2,1,111,6,178,255,30,136,253,255,144,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=918989;
i=i+1;data.values(i,:)=[252,0,40,5,200,0,115,35,0,0,1,0,0,0,0,0,252,0,127,6,176,255,30,136,248,255,128,253,0,0,0,0,164,7,0,0,0,0];data.t_us(i)=921985;
i=i+1;data.values(i,:)=[240,0,40,5,208,0,115,35,0,0,1,0,0,0,0,0,240,0,127,6,176,255,30,136,248,255,128,253,0,0,0,0,160,7,0,0,0,0];data.t_us(i)=924985;
i=i+1;data.values(i,:)=[235,0,44,5,195,0,115,35,0,0,1,0,0,0,0,0,235,0,119,6,177,255,30,136,249,255,136,253,0,0,0,0,165,7,0,0,0,0];data.t_us(i)=927987;
i=i+1;data.values(i,:)=[215,0,48,5,173,0,115,35,0,0,1,0,0,0,0,0,215,0,103,6,179,255,30,136,252,255,152,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=930985;
i=i+1;data.values(i,:)=[207,0,52,5,151,0,115,35,0,0,1,0,0,0,0,0,207,0,87,6,181,255,30,136,255,255,168,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=937988;
i=i+1;data.values(i,:)=[201,0,48,5,157,0,115,35,0,0,1,0,0,0,0,0,201,0,87,6,181,255,30,136,0,0,168,253,0,0,0,0,183,7,0,0,0,0];data.t_us(i)=940984;
i=i+1;data.values(i,:)=[191,0,52,5,143,0,115,35,0,0,1,0,0,0,0,0,191,0,79,6,182,255,30,136,3,0,176,253,0,0,0,0,178,7,0,0,0,0];data.t_us(i)=943987;
i=i+1;data.values(i,:)=[183,0,56,5,121,0,115,35,0,0,1,0,0,0,0,0,183,0,63,6,184,255,30,136,6,0,192,253,0,0,0,0,191,7,0,0,0,0];data.t_us(i)=946984;
i=i+1;data.values(i,:)=[177,0,52,5,135,0,115,35,0,0,1,0,0,0,0,0,177,0,71,6,183,255,30,136,6,0,184,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=949990;
i=i+1;data.values(i,:)=[167,0,52,5,135,0,115,35,0,0,1,0,0,0,0,0,167,0,71,6,183,255,30,136,6,0,184,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=952989;
i=i+1;data.values(i,:)=[157,0,56,5,129,0,115,35,0,0,1,0,0,0,0,0,157,0,71,6,183,255,30,136,6,0,184,253,0,0,0,0,173,7,0,0,0,0];data.t_us(i)=955989;
i=i+1;data.values(i,:)=[151,0,52,5,151,0,115,35,0,0,1,0,0,0,0,0,151,0,87,6,181,255,30,136,4,0,168,253,0,0,0,0,170,7,0,0,0,0];data.t_us(i)=959989;
i=i+1;data.values(i,:)=[139,0,48,5,173,0,115,35,0,0,1,0,0,0,0,0,142,0,103,6,179,255,30,136,0,0,152,253,0,0,0,0,166,7,0,0,0,0];data.t_us(i)=962989;
i=i+1;data.values(i,:)=[130,0,40,5,192,0,115,35,0,0,1,0,0,0,0,0,130,0,111,6,178,255,30,136,252,255,144,253,0,0,0,0,163,7,0,0,0,0];data.t_us(i)=966989;
i=i+1;data.values(i,:)=[122,0,44,5,187,0,115,35,0,0,1,0,0,0,0,0,122,0,119,6,177,255,30,136,250,255,136,253,0,0,0,0,172,7,0,0,0,0];data.t_us(i)=970988;
i=i+1;data.values(i,:)=[115,0,48,5,189,0,115,35,0,0,1,0,0,0,0,0,115,0,119,6,177,255,30,136,250,255,136,253,0,0,0,0,171,7,0,0,0,0];data.t_us(i)=973988;
i=i+1;data.values(i,:)=[105,0,48,5,181,0,115,35,0,0,1,0,0,0,0,0,105,0,111,6,178,255,30,136,250,255,144,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=976988;
i=i+1;data.values(i,:)=[97,0,52,5,167,0,115,35,0,0,1,0,0,0,0,0,97,0,103,6,179,255,30,136,251,255,152,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=979988;
i=i+1;data.values(i,:)=[91,0,48,5,181,0,115,35,0,0,1,0,0,0,0,0,91,0,111,6,178,255,30,136,251,255,144,253,0,0,0,0,176,7,0,0,0,0];data.t_us(i)=982988;
i=i+1;data.values(i,:)=[81,0,48,5,165,0,115,35,0,0,1,0,0,0,0,0,81,0,95,6,180,255,30,136,253,255,160,253,0,0,0,0,184,7,0,0,0,0];data.t_us(i)=985989;
i=i+1;data.values(i,:)=[73,0,56,5,137,0,115,35,0,0,1,0,0,0,0,0,73,0,79,6,182,255,30,136,1,0,176,253,0,0,0,0,187,7,0,0,0,0];data.t_us(i)=988989;
i=i+1;data.values(i,:)=[66,0,56,5,129,0,115,35,0,0,1,0,0,0,0,0,66,0,71,6,183,255,30,136,3,0,184,253,0,0,0,0,186,7,0,0,0,0];data.t_us(i)=991988;
i=i+1;data.values(i,:)=[54,0,60,5,115,0,115,35,0,0,1,0,0,0,0,0,54,0,63,6,184,255,30,136,7,0,192,253,0,0,0,0,179,7,0,0,0,0];data.t_us(i)=994988;
i=i+1;data.values(i,:)=[46,0,48,5,141,0,115,35,0,0,1,0,0,0,0,0,46,0,71,6,183,255,30,136,5,0,184,253,0,0,0,0,181,7,0,0,0,0];data.t_us(i)=998988;
i=i+1;data.values(i,:)=[36,0,52,5,135,0,115,35,0,0,1,0,0,0,0,0,36,0,71,6,183,255,30,136,6,0,184,253,0,0,0,0,175,7,0,0,0,0];data.t_us(i)=1002991;
  [m,n]=size(data);
  m1=max(data.values,[],1);
  m2=min(data.values,[],1);
  k=find(m1~=m2);
  k=k+data.col_deb-1;
 disp(k);